A decomposition approach to characterizing feasibility in acyclic multi-unit processes
File(s)
Published version
Author(s)
Mowbray, Max
Kontoravdi, Cleo
Shah, Nilay
Chachuat, Benoît
Type
Conference Paper
Abstract
The ability to certify feasibility in process design and process operations is crucial in many applications. This includes quality-by-design in pharmaceutical manufacturing, where a key element is the characterization of the design space to better understand the links between materials, processes and products. Sampling-based approaches are versatile but they are cursed by dimensionality, which currently limits their application to problems in a few process variables only. We propose a decomposition approach that enables feasibility characterization for nominal settings of uncertain parameters in acyclic multi-unit processes by sampling. Our methodology leverages problem structure to decompose unit-wise, and deploys surrogate models to couple the resultant subproblems. We demonstrate it on a serial, batch chemical reactor network. In future research, we will extend this framework to cyclic multi-unit processes and the presence of parameter uncertainty.
Date Issued
2024
Date Acceptance
2024-07-14
Citation
IFAC-PapersOnLine, 2024, 58 (14), pp.216-221
ISSN
2405-8963
Publisher
Elsevier BV
Start Page
216
End Page
221
Journal / Book Title
IFAC-PapersOnLine
Volume
58
Issue
14
Copyright Statement
© 2024 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
http://dx.doi.org/10.1016/j.ifacol.2024.08.339
Source
12th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2024
Publication Status
Published
Start Date
2024-07-14
Finish Date
2024-07-17
Coverage Spatial
Toronto, Canada
Date Publish Online
2024-09-05